随机指标失败摆动策略
该策略监控随机振荡指标,当80以上出现更低的高点或20以下出现更高的低点时留意反转。 指标未能刷新极值并掉头,通常意味着趋势即将变化。 在20下方形成更高低点且%K重新上穿%D时买入;在80上方形成更低高点且%K跌破%D时卖出。 采用小幅百分比止损,若随机指标回到先前摆动水平则退出。
测试表明年均收益约为 70%,该策略在股票市场表现最佳。
细节
- 入场条件:指标信号
- 多/空:均可
- 退出条件:止损或反向信号
- 止损:是,按百分比
- 默认值:
CandleType= 15分钟StopLoss= 2%
- 过滤器:
- 类别:反转
- 方向:双向
- 指标:随机指标
- 止损:有
- 复杂度:中等
- 时间框架:日内
- 季节性:否
- 神经网络:否
- 背离:否
- 风险等级:中等
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Strategy that trades based on Stochastic Oscillator Failure Swing pattern.
/// A failure swing occurs when Stochastic reverses direction without crossing through centerline.
/// Uses cooldown to control trade frequency.
/// </summary>
public class StochasticFailureSwingStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _kPeriod;
private readonly StrategyParam<int> _dPeriod;
private readonly StrategyParam<decimal> _oversoldLevel;
private readonly StrategyParam<decimal> _overboughtLevel;
private readonly StrategyParam<int> _cooldownBars;
private StochasticOscillator _stochastic;
private decimal _prevK;
private decimal _prevPrevK;
private int _cooldown;
/// <summary>
/// Candle type and timeframe.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// K period.
/// </summary>
public int KPeriod
{
get => _kPeriod.Value;
set => _kPeriod.Value = value;
}
/// <summary>
/// D period.
/// </summary>
public int DPeriod
{
get => _dPeriod.Value;
set => _dPeriod.Value = value;
}
/// <summary>
/// Oversold level.
/// </summary>
public decimal OversoldLevel
{
get => _oversoldLevel.Value;
set => _oversoldLevel.Value = value;
}
/// <summary>
/// Overbought level.
/// </summary>
public decimal OverboughtLevel
{
get => _overboughtLevel.Value;
set => _overboughtLevel.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public StochasticFailureSwingStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_kPeriod = Param(nameof(KPeriod), 14)
.SetDisplay("K Period", "%K period", "Stochastic")
.SetRange(5, 30);
_dPeriod = Param(nameof(DPeriod), 3)
.SetDisplay("D Period", "%D period", "Stochastic")
.SetRange(2, 10);
_oversoldLevel = Param(nameof(OversoldLevel), 30m)
.SetDisplay("Oversold Level", "Stochastic oversold", "Stochastic")
.SetRange(10m, 40m);
_overboughtLevel = Param(nameof(OverboughtLevel), 70m)
.SetDisplay("Overbought Level", "Stochastic overbought", "Stochastic")
.SetRange(60m, 90m);
_cooldownBars = Param(nameof(CooldownBars), 250)
.SetDisplay("Cooldown Bars", "Bars between trades", "General")
.SetRange(10, 2000);
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_stochastic = default;
_prevK = 0;
_prevPrevK = 0;
_cooldown = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_stochastic = new StochasticOscillator
{
K = { Length = KPeriod },
D = { Length = DPeriod },
};
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(_stochastic, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _stochastic);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue stochValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var stoch = (StochasticOscillatorValue)stochValue;
if (stoch.K is not decimal kValue)
return;
// Need at least 2 previous values
if (_prevK == 0 || _prevPrevK == 0)
{
_prevPrevK = _prevK;
_prevK = kValue;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevPrevK = _prevK;
_prevK = kValue;
return;
}
// Bullish Failure Swing: K was oversold, rose, pulled back but stayed above prior low
var isBullish = _prevPrevK < OversoldLevel &&
_prevK > _prevPrevK &&
kValue < _prevK &&
kValue > _prevPrevK;
// Bearish Failure Swing: K was overbought, fell, bounced but stayed below prior high
var isBearish = _prevPrevK > OverboughtLevel &&
_prevK < _prevPrevK &&
kValue > _prevK &&
kValue < _prevPrevK;
if (Position == 0)
{
if (isBullish)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (isBearish)
{
SellMarket();
_cooldown = CooldownBars;
}
}
else if (Position > 0)
{
// Exit long when K crosses above overbought
if (kValue > OverboughtLevel)
{
SellMarket();
_cooldown = CooldownBars;
}
}
else if (Position < 0)
{
// Exit short when K crosses below oversold
if (kValue < OversoldLevel)
{
BuyMarket();
_cooldown = CooldownBars;
}
}
_prevPrevK = _prevK;
_prevK = kValue;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import StochasticOscillator
from StockSharp.Algo.Strategies import Strategy
class stochastic_failure_swing_strategy(Strategy):
"""
Strategy that trades based on Stochastic Oscillator Failure Swing pattern.
A failure swing occurs when Stochastic reverses direction without crossing through centerline.
Uses cooldown to control trade frequency.
"""
def __init__(self):
super(stochastic_failure_swing_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Candle timeframe", "General")
self._k_period = self.Param("KPeriod", 14).SetDisplay("K Period", "%K period", "Stochastic")
self._d_period = self.Param("DPeriod", 3).SetDisplay("D Period", "%D period", "Stochastic")
self._oversold_level = self.Param("OversoldLevel", 30.0).SetDisplay("Oversold Level", "Stochastic oversold", "Stochastic")
self._overbought_level = self.Param("OverboughtLevel", 70.0).SetDisplay("Overbought Level", "Stochastic overbought", "Stochastic")
self._cooldown_bars = self.Param("CooldownBars", 250).SetDisplay("Cooldown Bars", "Bars between trades", "General")
self._prev_k = 0.0
self._prev_prev_k = 0.0
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(stochastic_failure_swing_strategy, self).OnReseted()
self._prev_k = 0.0
self._prev_prev_k = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(stochastic_failure_swing_strategy, self).OnStarted2(time)
self._prev_k = 0.0
self._prev_prev_k = 0.0
self._cooldown = 0
stochastic = StochasticOscillator()
stochastic.K.Length = self._k_period.Value
stochastic.D.Length = self._d_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(stochastic, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, stochastic)
self.DrawOwnTrades(area)
def _process_candle(self, candle, stoch_iv):
if candle.State != CandleStates.Finished:
return
k_val = stoch_iv.K
if k_val is None:
return
kv = float(k_val)
# Need at least 2 previous values
if self._prev_k == 0 or self._prev_prev_k == 0:
self._prev_prev_k = self._prev_k
self._prev_k = kv
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_prev_k = self._prev_k
self._prev_k = kv
return
cd = self._cooldown_bars.Value
oversold = self._oversold_level.Value
overbought = self._overbought_level.Value
# Bullish Failure Swing: K was oversold, rose, pulled back but stayed above prior low
is_bullish = (
self._prev_prev_k < oversold and
self._prev_k > self._prev_prev_k and
kv < self._prev_k and
kv > self._prev_prev_k
)
# Bearish Failure Swing: K was overbought, fell, bounced but stayed below prior high
is_bearish = (
self._prev_prev_k > overbought and
self._prev_k < self._prev_prev_k and
kv > self._prev_k and
kv < self._prev_prev_k
)
if self.Position == 0:
if is_bullish:
self.BuyMarket()
self._cooldown = cd
elif is_bearish:
self.SellMarket()
self._cooldown = cd
elif self.Position > 0:
# Exit long when K crosses above overbought
if kv > overbought:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0:
# Exit short when K crosses below oversold
if kv < oversold:
self.BuyMarket()
self._cooldown = cd
self._prev_prev_k = self._prev_k
self._prev_k = kv
def CreateClone(self):
return stochastic_failure_swing_strategy()